Software Engineer (C++/Rust)

Sorry, this job was removed at 12:19 a.m. (CST) on Wednesday, Jan 07, 2026
Easy Apply
4 Locations
In-Office or Remote
Fintech
The Role

Databento is a startup that builds modern APIs to get financial data. As a Series A startup, we've raised $37.8M to date, and grown our revenues by over 958% Y/Y in the past year—all with a team of fewer than 30 employees.

We're looking for a junior software engineer (on parity with L3 to L4 at a large tech firm) to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 30 PB of data, with thousands of bare metal CPU cores at your disposal.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

Responsibilities
  • Design, develop, and maintain high-performance server applications in C/C++ and Rust.
  • Write message parsers and feed handlers for direct market data feeds from trading venues.
  • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
  • Implement tools and libraries for petabyte-scale data processing and analysis.
  • Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
  • Implement monitoring and improve application uptime.
  • Ensure smooth feature rollouts and updates.
Preferred background
  • Prior internship experience or 1 to 3 years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
  • Strong proficiency in C/C++ or Rust.
  • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
  • Experience working with multiprocess environments.
  • Comfortable with lldb/gdb.
  • Good communication skills and work ethic for a remote workplace.
  • An interest in low-level optimization and performance engineering.
  • An interest in financial data or algorithmic trading.
  • A bachelor's degree in computer science or a related technical subject. 
Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply! 

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The Company
HQ: Salt Lake City, UT
26 Employees
Year Founded: 2019

What We Do

We're hiring! Check out our job openings here: https://www.databento.com/careers.

Databento makes it simpler and faster to get market data. Our self-service model allows users to instantly pick up live exchange feeds and terabytes of historical data — and only pay for what they use. Our goal is to power the world's largest finance and fintech institutions and make data accessible for small startups.

Since starting in 2019, we've raised over $27.8M in funding. Our team brings years of experience running high-frequency trading desks, and includes alumni from firms like Two Sigma, Google, Microsoft, and Bloomberg.

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